AI Artificial Intelligence Course

Beginner's course Suitable for primary school and junior high school students, no programming experience is required. It is designed to inspire students' interest in learning and establish basic knowledge of AI.Advanced courses Suitable for high school and junior high school students. It is recommended that students already have some programming experience. The course content covers more advanced programming skills and AI applications.Advanced courses It is suitable for middle school students who need to have a basic knowledge of Python programming. It is designed to cultivate students' deep learning ability and AI project development ability.

We do not recommend that students without programming experience jump straight into advanced courses. It is recommended to start with an introductory or intermediate course to gradually build up programming foundation and AI knowledge, and then gradually learn more in-depth content.

The time required for each course will vary depending on the course content and student learning progress. Generally speaking, each course takes approximately 10-20 hours to complete. Please refer to the individual course introductions for detailed information.

This series of courses is specially designed for high school students and aims to train students to become AI experts. The course content covers Python, deep learning, NVIDIA Jetson platform operation, and deep learning project practice. After completing the course and passing the assessment, students can obtain the NVIDIA Jetson AI Specialist certificate to prove their AI professional capabilities, which will help with further education and future employment.

This course aims to train students to participate in robotics competitions, including the World Robot Competition (WRC), the National Primary and Secondary School Information Technology Innovation and Practice Competition (NOC), the National Youth Aerospace Innovation Competition, and the CTEA "Innovation Association Cup" Creative Technology in Hong Kong "Whitelist" competitions such as robot competitions.

"Whitelist" competitions refer to competitions that are officially recognized by the Ministry of Education of China. The competition results are regarded as officially recognized academic achievements and have important reference value for students' further studies and development, helping to enhance students' competitiveness.

For students at different learning stages, we use platforms and tools such as Micro:bit and Boson (beginner/advanced) and Arduino (advanced/advanced) to allow students to learn the application and programming skills of the Internet of Things.

This training camp covers three stages of game development, using game engines such as GDevelop (2D game development), Spatial (3D games and AI metaverse), and Unity (virtual reality game development).

This course covers the use of OpenAI API, dialogue data collection and management, advanced dialogue processing (Prompt Engineering), integrated applications (Telegram and MIT App Inventor), and performance evaluation and optimization.

The Jetbot AI self-driving racing course uses the NVIDIA Jetson Nano-based Jetbot racing kit; the Dofbot AI robotic arm course uses the Dofbot six-degree-of-freedom educational robotic arm. Both courses use Python programming to control hardware.